From 4b5352d93cf89b7562895b550fb5bd62160586c5 Mon Sep 17 00:00:00 2001 From: acano Date: Tue, 24 Feb 2026 16:24:32 +0100 Subject: [PATCH] Refactor code structure for improved readability and maintainability --- pyproject.toml | 2 + scratches/acano/es_ingestion.ipynb | 4 +- scratches/acano/langgraph_agent_simple.ipynb | 220 ++- .../embeddings/n00 Beir Analysis_cosqa.ipynb | 39 +- uv.lock | 1180 +++++++++-------- 5 files changed, 858 insertions(+), 587 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index ee0ea03..29f97d5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -28,5 +28,7 @@ dev = [ "beir>=2.2.0", "jupyter>=1.1.1", "langfuse>=3.14.4", + "mteb>=2.8.8", + "polars>=1.38.1", "ruff>=0.15.1", ] diff --git a/scratches/acano/es_ingestion.ipynb b/scratches/acano/es_ingestion.ipynb index b60717e..d9f2227 100644 --- a/scratches/acano/es_ingestion.ipynb +++ b/scratches/acano/es_ingestion.ipynb @@ -369,7 +369,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "74c0a377", "metadata": {}, "outputs": [ @@ -412,7 +412,7 @@ ], "source": [ "response = es.search(\n", - " index=ES_INDEX_NAME,\n", + " index=ES_INDEX_NAME,################dfdfdfasdad\n", " body={\n", " \"query\": {\"match_all\": {}},\n", " \"size\": 10 \n", diff --git a/scratches/acano/langgraph_agent_simple.ipynb b/scratches/acano/langgraph_agent_simple.ipynb index 7ffdb09..c0c4553 100644 --- a/scratches/acano/langgraph_agent_simple.ipynb +++ b/scratches/acano/langgraph_agent_simple.ipynb @@ -28,13 +28,13 @@ "from langchain_elasticsearch import ElasticsearchStore\n", "from langgraph.graph import StateGraph, END\n", "from langgraph.prebuilt import ToolNode\n", - "from langfuse import get_client\n", + "from langfuse import get_client, Langfuse\n", "from langfuse.langchain import CallbackHandler" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "30edcecc", "metadata": {}, "outputs": [], @@ -48,8 +48,8 @@ "LANGFUSE_SECRET_KEY = os.getenv(\"LANGFUSE_SECRET_KEY\")\n", "LANGFUSE_HOST = os.getenv(\"LANGFUSE_HOST\")\n", "\n", - "# langfuse = get_client()\n", - "# langfuse_handler = CallbackHandler()\n", + "langfuse = get_client()\n", + "langfuse_handler = CallbackHandler()\n", "\n", "embeddings = OllamaEmbeddings(base_url=BASE_URL, model=EMB_MODEL_NAME)\n", "llm = ChatOllama(base_url=BASE_URL, model=MODEL_NAME)\n", @@ -65,15 +65,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "ad98841b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ValidationError", + "evalue": "2 validation errors for ParsingModel[Projects]\n__root__ -> data -> 0 -> organization\n field required (type=value_error.missing)\n__root__ -> data -> 0 -> metadata\n field required (type=value_error.missing)", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mValidationError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[3]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43mlangfuse\u001b[49m\u001b[43m.\u001b[49m\u001b[43mauth_check\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m:\n\u001b[32m 2\u001b[39m \u001b[38;5;28mprint\u001b[39m(\u001b[33m\"\u001b[39m\u001b[33mLangfuse client is authenticated and ready!\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 3\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langfuse/_client/client.py:3385\u001b[39m, in \u001b[36mLangfuse.auth_check\u001b[39m\u001b[34m(self)\u001b[39m\n\u001b[32m 3376\u001b[39m \u001b[38;5;250m\u001b[39m\u001b[33;03m\"\"\"Check if the provided credentials (public and secret key) are valid.\u001b[39;00m\n\u001b[32m 3377\u001b[39m \n\u001b[32m 3378\u001b[39m \u001b[33;03mRaises:\u001b[39;00m\n\u001b[32m (...)\u001b[39m\u001b[32m 3382\u001b[39m \u001b[33;03m This method is blocking. It is discouraged to use it in production code.\u001b[39;00m\n\u001b[32m 3383\u001b[39m \u001b[33;03m\"\"\"\u001b[39;00m\n\u001b[32m 3384\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m-> \u001b[39m\u001b[32m3385\u001b[39m projects = \u001b[38;5;28;43mself\u001b[39;49m\u001b[43m.\u001b[49m\u001b[43mapi\u001b[49m\u001b[43m.\u001b[49m\u001b[43mprojects\u001b[49m\u001b[43m.\u001b[49m\u001b[43mget\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[32m 3386\u001b[39m langfuse_logger.debug(\n\u001b[32m 3387\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mAuth check successful, found \u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mlen\u001b[39m(projects.data)\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m projects\u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 3388\u001b[39m )\n\u001b[32m 3389\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(projects.data) == \u001b[32m0\u001b[39m:\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/langfuse/api/resources/projects/client.py:65\u001b[39m, in \u001b[36mProjectsClient.get\u001b[39m\u001b[34m(self, request_options)\u001b[39m\n\u001b[32m 63\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 64\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[32m200\u001b[39m <= _response.status_code < \u001b[32m300\u001b[39m:\n\u001b[32m---> \u001b[39m\u001b[32m65\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mpydantic_v1\u001b[49m\u001b[43m.\u001b[49m\u001b[43mparse_obj_as\u001b[49m\u001b[43m(\u001b[49m\u001b[43mProjects\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m_response\u001b[49m\u001b[43m.\u001b[49m\u001b[43mjson\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[32m 66\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m _response.status_code == \u001b[32m400\u001b[39m:\n\u001b[32m 67\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/pydantic/v1/tools.py:38\u001b[39m, in \u001b[36mparse_obj_as\u001b[39m\u001b[34m(type_, obj, type_name)\u001b[39m\n\u001b[32m 36\u001b[39m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34mparse_obj_as\u001b[39m(type_: Type[T], obj: Any, *, type_name: Optional[NameFactory] = \u001b[38;5;28;01mNone\u001b[39;00m) -> T:\n\u001b[32m 37\u001b[39m model_type = _get_parsing_type(type_, type_name=type_name) \u001b[38;5;66;03m# type: ignore[arg-type]\u001b[39;00m\n\u001b[32m---> \u001b[39m\u001b[32m38\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmodel_type\u001b[49m\u001b[43m(\u001b[49m\u001b[43m__root__\u001b[49m\u001b[43m=\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m.__root__\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/PycharmProjects/assistance-engine/.venv/lib/python3.11/site-packages/pydantic/v1/main.py:347\u001b[39m, in \u001b[36mBaseModel.__init__\u001b[39m\u001b[34m(__pydantic_self__, **data)\u001b[39m\n\u001b[32m 345\u001b[39m values, fields_set, validation_error = validate_model(__pydantic_self__.\u001b[34m__class__\u001b[39m, data)\n\u001b[32m 346\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m validation_error:\n\u001b[32m--> \u001b[39m\u001b[32m347\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m validation_error\n\u001b[32m 348\u001b[39m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[32m 349\u001b[39m object_setattr(__pydantic_self__, \u001b[33m'\u001b[39m\u001b[33m__dict__\u001b[39m\u001b[33m'\u001b[39m, values)\n", + "\u001b[31mValidationError\u001b[39m: 2 validation errors for ParsingModel[Projects]\n__root__ -> data -> 0 -> organization\n field required (type=value_error.missing)\n__root__ -> data -> 0 -> metadata\n field required (type=value_error.missing)" + ] + } + ], "source": [ - "# if langfuse.auth_check():\n", - "# print(\"Langfuse client is authenticated and ready!\")\n", - "# else:\n", - "# print(\"Authentication failed. Please check your credentials and host.\")" + "if langfuse.auth_check():\n", + " print(\"Langfuse client is authenticated and ready!\")\n", + "else:\n", + " print(\"Authentication failed. Please check your credentials and host.\")" ] }, { @@ -86,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "id": "5f8c88cf", "metadata": {}, "outputs": [], @@ -105,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "id": "f0a21230", "metadata": {}, "outputs": [], @@ -115,7 +131,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "id": "f9359747", "metadata": {}, "outputs": [], @@ -146,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 10, "id": "e5247ab9", "metadata": {}, "outputs": [], @@ -161,7 +177,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 11, "id": "a644f6fa", "metadata": {}, "outputs": [], @@ -181,7 +197,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 12, "id": "36d0f54e", "metadata": {}, "outputs": [], @@ -215,7 +231,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 13, "id": "fae46a58", "metadata": {}, "outputs": [], @@ -233,7 +249,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 14, "id": "2fec3fdb", "metadata": {}, "outputs": [ @@ -265,7 +281,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 15, "id": "8569cf39", "metadata": {}, "outputs": [], @@ -286,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 16, "id": "a1a1f3cf", "metadata": {}, "outputs": [], @@ -296,12 +312,172 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "53b89690", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "================================\u001b[1m Human Message \u001b[0m=================================\n", + "\n", + "Create a small snippet that adds 2 numbers using AVAP language. Use the provided tool.\n", + "==================================\u001b[1m Ai Message \u001b[0m==================================\n", + "\n", + "\n", + "Okay, the user wants a small snippet that adds two numbers using the AVAP language. They mentioned using the provided tool. Let me check the tools available.\n", + "\n", + "The only tool provided is retrieve, which gets documents about AVAP. But the user is asking for a code snippet, not a document retrieval. Since the function retrieve isn't for generating code, maybe I can't use it here. Wait, maybe I should inform the user that the tool isn't suitable for this task. Alternatively, perhaps the vector store has some code examples, but I don't have access to it. So, I need to respond that I can't create the code snippet with the available tool. But the user wants the answer. Hmm, maybe I should proceed by writing the code snippet using AVAP syntax, even though the tool isn't applicable. Let me think of AVAP syntax. AVAP uses a specific syntax for APIs, so perhaps the code would look something like adding two numbers using a function. Let me draft that.\n", + "\n", + "\n", + "The AVAP language allows creating API endpoints using simple syntax. Here's a snippet that adds two numbers:\n", + "\n", + "```avap\n", + "function add(a, b) {\n", + " return a + b;\n", + "}\n", + "```\n", + "\n", + "This snippet uses the `add` function to sum two numbers. Let me know if you need further assistance!\n" + ] + } + ], + "source": [ + "a = stream_graph_updates(user_input)" + ] + }, + { + "cell_type": "markdown", + "id": "3707574b", + "metadata": {}, + "source": [ + "### MTEB" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d9657ec4", + "metadata": {}, "outputs": [], "source": [ - "a = stream_graph_updates(user_input)" + "from dataclasses import dataclass\n", + "from typing import Any, Iterable\n", + " \n", + "import numpy as np\n", + " \n", + "import mteb\n", + "from mteb.types import Array\n", + "from mteb.models import SearchEncoderWrapper\n", + " \n", + " \n", + "def _l2_normalize(x: np.ndarray, eps: float = 1e-12) -> np.ndarray:\n", + " norms = np.linalg.norm(x, axis=1, keepdims=True)\n", + " return x / np.clip(norms, eps, None)\n", + " \n", + " \n", + "def _to_text_list(batch: dict[str, Any]) -> list[str]:\n", + " \"\"\"\n", + " MTEB batched inputs can be:\n", + " - TextInput: {\"text\": [..]}\n", + " - CorpusInput: {\"title\": [..], \"body\": [..], \"text\": [..]}\n", + " - QueryInput: {\"query\": [..], \"instruction\": [..], \"text\": [..]}\n", + " We prefer \"text\" if present; otherwise compose from title/body or query/instruction.\n", + " \"\"\"\n", + " if \"text\" in batch and batch[\"text\"] is not None:\n", + " return list(batch[\"text\"])\n", + " \n", + " if \"title\" in batch and \"body\" in batch:\n", + " titles = batch[\"title\"] or [\"\"] * len(batch[\"body\"])\n", + " bodies = batch[\"body\"] or [\"\"] * len(batch[\"title\"])\n", + " return [f\"{t} {b}\".strip() for t, b in zip(titles, bodies)]\n", + " \n", + " if \"query\" in batch:\n", + " queries = list(batch[\"query\"])\n", + " instructions = batch.get(\"instruction\")\n", + " if instructions:\n", + " return [f\"{i} {q}\".strip() for q, i in zip(queries, instructions)]\n", + " return queries\n", + " \n", + " raise ValueError(f\"Unsupported batch keys: {sorted(batch.keys())}\")\n", + " \n", + " \n", + "@dataclass\n", + "class OllamaLangChainEncoder:\n", + " lc_embeddings: Any # OllamaEmbeddings implements embed_documents()\n", + " normalize: bool = True\n", + " \n", + " # Optional metadata hook used by some wrappers; safe to keep as None for local runs\n", + " mteb_model_meta: Any = None\n", + " \n", + " def encode(\n", + " self,\n", + " inputs: Iterable[dict[str, Any]],\n", + " *,\n", + " task_metadata: Any,\n", + " hf_split: str,\n", + " hf_subset: str,\n", + " prompt_type: Any = None,\n", + " **kwargs: Any,\n", + " ) -> Array:\n", + " all_vecs: list[np.ndarray] = []\n", + " \n", + " for batch in inputs:\n", + " texts = _to_text_list(batch)\n", + " vecs = self.lc_embeddings.embed_documents(texts)\n", + " arr = np.asarray(vecs, dtype=np.float32)\n", + " if self.normalize:\n", + " arr = _l2_normalize(arr)\n", + " all_vecs.append(arr)\n", + " \n", + " if not all_vecs:\n", + " return np.zeros((0, 0), dtype=np.float32)\n", + " \n", + " return np.vstack(all_vecs)\n", + " \n", + " def similarity(self, embeddings1: Array, embeddings2: Array) -> Array:\n", + " a = np.asarray(embeddings1, dtype=np.float32)\n", + " b = np.asarray(embeddings2, dtype=np.float32)\n", + " if self.normalize:\n", + " # dot == cosine if already normalized\n", + " return a @ b.T\n", + " a = _l2_normalize(a)\n", + " b = _l2_normalize(b)\n", + " return a @ b.T\n", + " \n", + " def similarity_pairwise(self, embeddings1: Array, embeddings2: Array) -> Array:\n", + " a = np.asarray(embeddings1, dtype=np.float32)\n", + " b = np.asarray(embeddings2, dtype=np.float32)\n", + " if not self.normalize:\n", + " a = _l2_normalize(a)\n", + " b = _l2_normalize(b)\n", + " return np.sum(a * b, axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85727a68", + "metadata": {}, + "outputs": [], + "source": [ + "encoder = OllamaLangChainEncoder(lc_embeddings=embeddings, normalize=True)\n", + "search_model = SearchEncoderWrapper(encoder)\n", + " \n", + "tasks = mteb.get_tasks([\n", + " \"CodeSearchNetRetrieval\",\n", + " \"CodeSearchNetCCRetrieval\",\n", + " \"AppsRetrieval\",\n", + " \"StackOverflowDupQuestions\",\n", + "])\n", + "results = mteb.evaluate(\n", + " model=search_model,\n", + " tasks=tasks,\n", + " encode_kwargs={\"batch_size\": 32, \"show_progress_bar\": True}\n", + ")\n", + " \n", + "print(results)" ] } ], diff --git a/scratches/pseco/evaluation/embeddings/n00 Beir Analysis_cosqa.ipynb b/scratches/pseco/evaluation/embeddings/n00 Beir Analysis_cosqa.ipynb index 6522862..1e3f10d 100644 --- a/scratches/pseco/evaluation/embeddings/n00 Beir Analysis_cosqa.ipynb +++ b/scratches/pseco/evaluation/embeddings/n00 Beir Analysis_cosqa.ipynb @@ -264,9 +264,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "1db7d110", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Resultados guardados en /home/acano/PycharmProjects/assistance-engine/data/interim/beir_cosqa_results.json\n" + ] + } + ], + "source": [ + "results_data = {\n", + " \"qwen3-0.6B-emb:latest\": {\n", + " \"NDCG\": ndcg,\n", + " \"MAP\": _map,\n", + " \"Recall\": recall,\n", + " \"Precision\": precision,\n", + " },\n", + " \"qwen2.5:1.5b\": {\n", + " \"NDCG\": ndcg_qwen_2,\n", + " \"MAP\": _map_qwen_2,\n", + " \"Recall\": recall_qwen_2,\n", + " \"Precision\": precision_qwen_2,\n", + " }\n", + "}\n", + " \n", + "output_file = \"/home/acano/PycharmProjects/assistance-engine/data/interim/beir_cosqa_results.json\"\n", + "with open(output_file, \"w\") as f:\n", + " json.dump(results_data, f, indent=2)\n", + " \n", + "print(f\"Resultados guardados en {output_file}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e4f8d78b", + "metadata": {}, "outputs": [], "source": [] } diff --git a/uv.lock b/uv.lock index 056f878..6af74ae 100644 --- a/uv.lock +++ b/uv.lock @@ -6,12 +6,12 @@ resolution-markers = [ "python_full_version >= '3.14' and sys_platform == 'emscripten'", "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.13.*' and sys_platform == 'win32'", + "python_full_version == '3.13.*' and sys_platform == 'emscripten'", + "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.12.*' and sys_platform == 'win32'", "python_full_version < '3.12' and sys_platform == 'win32'", - "python_full_version == '3.13.*' and sys_platform == 'emscripten'", "python_full_version == '3.12.*' and sys_platform == 'emscripten'", "python_full_version < '3.12' and sys_platform == 'emscripten'", - "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version == '3.12.*' and sys_platform != 'emscripten' and sys_platform != 'win32'", "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'", ] @@ -264,6 +264,8 @@ dev = [ { name = "beir" }, { name = 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